Details zum E-Book

Python Digital Forensics Cookbook. Effective Python recipes for digital investigations

Python Digital Forensics Cookbook. Effective Python recipes for digital investigations

Chapin Bryce, Preston Miller

E-book
Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets.

By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata
from documents and executables, and identifying indicators of compromise. You
will also learn to integrate scripts with Application Program Interfaces (APIs) such
as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase.

By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations.


  • 1. Working with System/File Info
  • 2. A Deep Dive into Mobile Forensics
  • 3. Extracting Embedded Metadata
  • 4. Exploring Networking and Indicators of Compromise
  • 5. Reading Emails and Taking Names
  • 6. Forensic Evidence
  • 7. Log Based Artifacts
  • 8. Exploring Windows Forensic Artifact
  • 9. Exploring Windows Forensic Artifact.
  • 10. Creating Artifact Report
  • Titel: Python Digital Forensics Cookbook. Effective Python recipes for digital investigations
  • Autor: Chapin Bryce, Preston Miller
  • Originaler Titel: Python Digital Forensics Cookbook. Effective Python recipes for digital investigations
  • ISBN: 9781783987474, 9781783987474
  • Veröffentlichungsdatum: 2017-09-26
  • Format: E-book
  • Artikelkennung: e_15py
  • Verleger: Packt Publishing